Document Library

This guide is intended to assist environmental agencies better understand the Lean methods and the correct usage of each method. It focuses on Lean production, an organizational improvement philosophy that allows agencies to reduce waste in government processes.

An active project / no abstract available.

This tool provides a template and guidelines for a Lean Project Charter.

This LeanOhio toolkit includes detailed descriptions of common tools that yield significant improvements in an agency's workplace. The tools include Continuous Improvement, Lean, and Six Sigma methodologies.

This video serves as a Lean Tool and shows the IDEO Shopping Cart Project's DeepDive methodology in practice.

This tool provides guidance for the 6S method that is crucial to the Lean approach. It includes evaluations, checklists, and tips for successful implementation of the 6S method.

Objective: To identify key issues to be addressed ensure consistency and increase usefulness of the HPMS as a national source for pavement performance management.

Develop a framework for the self- assessment of data programs based on logical processes, success factors, and associated tools for assessing the suitability of transportation data for decision making on critical-issues. Completed; report available on NCHRP web site.

The objectives of this project were to (a) review and assess states’ current practices for quantifying serious injuries from motor vehicle crashes, (b) describe issues to be addressed in adapting CODES or other available databases to provide a basis for comparative analysis of DOT performance regarding serious crash injuries and safety management, and (c) describe feasible options for addressing these issues and assess their relative merits.

The objectives of this project were to (a) review specific measures used by DOTs for measurement of pavement structural health, (b) compare and assess the suitability of selected measures to be used more widely to characterize system performance regarding pavement structural health, (c) recruit DOTs to participate in demonstrating how pavement structural health may be compared among states.

New York City Department of Transportation (NYCDOT) over the past few years has been upgrading its Intelligent Transportation Systems (ITS) infrastructure. Specifically NYCDOT has been installing Advanced Solid State Traffic Controllers (ASTC), a city wide wireless network (NYCWiN), and a sophisticated Traffic Control System (TCS) in the Traffic Management Center (TMC). Capitalizing on the deployment of these advanced technologies, NYCDOT Instituted the "Midtown in Motion" (MIM) project to enhance multimodal mobility in the Midtown Core of Manhattan, a 110 square block area or "box" from 2nd to 6th Avenues, 42nd to 57th Streets. MIM was announced by Mayor Michael R. Bloomberg on July 18, 2011. The MIM Project utilizes "active traffic management (ATM)" and the full capabilities of the NYCDOT Intelligent Transportation System (ITS) infrastructure. The signal-timing measures applied by MIM complement other efforts by the City to improve traffic operations. As part of this project E-ZPass tag readers were installed to provide travel time data, and microwave sensors were deployed to provide flow/occupancy, both in real time. The ATM is based on a two level control strategy to improve mobility using both travel time and flow/occupancy data. The real time data is being archived by NYCDOT and serves as a large and rich data warehouse. This supplements other efforts by NYCDOT of building a data warehouse of routine traffic data (counts, volumes, speeds, etc) collected as part of DOT and other agency projects. Also, NYCDOT Division of Planning and Sustainability (P&S) has developed a large-scale model of Manhattan as a macro/meso/micro level called the "Manhattan Traffic Model" (MTM). In addition, the P&S division has an agreement with the Taxi and Limousine Commission (TLC) to have access to GPS trip information (start/end) of all yellow medallion taxi trips (metered trips) in New York City. The availability of the MIM, MTM, and the taxi GPS database provide an excellent opportunity to perform data mining/analysis for investigating trends and constructing metrics. NYCDOT has a cooperative agreement with Polytechnic Institute of New York University (NYU-Poly) to provide the data. Professor Emeritus McShane will be involved in working with NYCDOT on the adaptive control/learning (MIM) and directing efforts that make extensive use of the database. Professor Falcocchio will direct an effort at NYU-Poly to investigate how to develop metrics and performance measures from the available database. Several PhD students at NYU-Poly are already involved in the beginnings of this initiative. Also, NYCDOT will provide reviews and serve in a guidance role as part on its ongoing services.

Transportation asset management is a strategic approach to managing transportation infrastructure. It focuses on business processes for resource allocation and utilization with the objective of better decision making based on quality information and well-defined objectives. This study reports the current state of practice for asset management among state departments of transportation (DOTs). It is advised by the recent Volume 2 of the "AASHTO Asset Management Guide – A Focus on Implementation," which provides a step-by-step process that enables agencies to align their investment decisions to their strategic goals. Information for this study was acquired through literature review, a workshop, interviews, and surveys of state DOTs.